ANALYZING DOMESTIC AND INTERNATIONAL CORPORATE INNOVATION USING THE DATA SURFACE MINING TECHNIQUE

Daniel Berg () and Norman G. Einspruch ()
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Daniel Berg: Decision Sciences and Engineering Systems, Lally School of Management, Rensselaer Polytechnic Institute, 5015 CII, 110 8th Street, Troy, New York 12180-3590, USA
Norman G. Einspruch: College of Engineering, University of Miami, Electrical and Computer Engineering, 211 McArthur Annex, 1251 Memorial Drive Coral Gables, FL 33146, USA

International Journal of Innovation and Technology Management (IJITM), 2008, vol. 05, issue 02, 221-231

Abstract: Corporate innovation continues to be the subject of a stream of articles in the business press as well as the focus of international conferences. Several recent articles in FORTUNE and BusinessWeek have identified innovative companies on a national and international basis. Using a technique labeled "Data Surface Mining" (DSM), previously published data on corporate innovation were further analyzed to characterize the similarities and differences between the Goods and Service Sectors; the results of these analysis are presented herein. In addition, the issues of technology management especially relevant to the Service Sector are presented. These issues are of critical importance in light of the fact that the Service Sector represents 80% (GDP and/or employment) of the United States economy and are of increasing importance in the global economy. It is also important to note that technology management in the Service Sector has not to date been given proportionate attention in the academic literature.

Keywords: Innovation; technology management; service sector; goods sector (search for similar items in EconPapers)
Date: 2008
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DOI: 10.1142/S0219877008001345

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